Dr. Preetha Thulasiraman

Naval Postgraduate School, USA

Assistant Professor

Email:[email protected]

Qualifications

2010 Ph.D., Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

2006 M.Sc., Electrical and Computer Engineering, University of Arizona, Tucson, Arizona, USA

2004 B.Sc., Electrical Engineering, University of Illinois, Urbana-Champaign, Illinois, USA

Publications (selected)

1. Park, J., & Thulasiraman, P. (2025). A Comparative Study of Path Loss Prediction in Coastal Areas for the UHF Band Using Empirical Models and Artificial Neural Network. IEEE Wireless Communications Letters, 15, 965–969.
2. Lin, K., & Thulasiraman, P. (2025). Evaluation of an Integrated 5G Communications Architecture for UAV Control in a Multi-Link Network. 2025 IEEE International Conference on Recent Advances in Systems Science and Engineering.
3. Sheng, C. X., & Thulasiraman, P. (2025). Resilience of Data Distribution Service (DDS) Under Simulated Cyber Threats in an Unmanned Systems Network. 2025 IEEE International Conference on Recent Advances in Systems Science and Engineering.
4. Stowe, A., Alves, R., & Thulasiraman, P., et al. (2025). Power Anomaly Detection Using Machine Learning for Microgrid Applications. 2025 Cyber Awareness and Research Symposium (CARS), 1–8.
5. McClinton, J., McClure, P., & Thulasiraman, P. (2025). Bayesian Convolutional Neural Networks for Anomaly Detection in Power Systems. 2025 Cyber Awareness and Research Symposium (CARS), 1–6.
6. Smith, P. F., Thulasiraman, P., & Oriti, G., et al. (2024). Anomaly Detection in Shipboard Operational Technology Systems Using Cyber Analytics. 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering.
7. Kim, Y., & Thulasiraman, P. (2024). Anomaly detection in 5G networks using transformer-based autoencoder. 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering.
8. Schroeder, A., McClure, P., & Thulasiraman, P. (2024). Anomaly detection in operational technology systems using non-intrusive load monitoring based on supervised learning. 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 1–6.
9. Trabandt, K. K., Eidson, B., & Thulasiraman, P. (2024). Achieving Cyber Resilience in 5G-Enabled Microgrids Using Supervised Learning. World Congress in Computer Science, Computer Engineering & Applied Computing.
10. Thulasiraman, P., Hackett, M., & Musgrave, P., et al. (2023). Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study. Energies, 16(20), Article 7151.
11. Hackett, M., Thulasiraman, P., & Ries, J., et al. (2023). DDoS Attack Detection on a 5G NSA Based Hybrid Energy Communications Network: A Case Study. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing.
12. Musgrave, P., & Thulasiraman, P. (2022). FDIA Detection Methods on a Navy Smart Grid AMI Data Set using Autoenocoder Neural Networks: A Case Study. 2022 International Conference on Computational Science and Computational Intelligence.
13. Thulasiraman, P. (2022). Cyber analytics for intrusion detection on the navy smart grid using supervised learning. 2022 IEEE International Systems Conference (SysCon), 1–7.
14. Thulasiraman, P., Cheng, Y. K. D., & Allen, B. (2022). Evaluation of the data distribution service for a lossy autonomous hybrid system. 2022 IEEE International Systems Conference (SysCon), 1–8.
15. Thulasiraman, P., Chen, Z., & Allen, B., et al. (2020). Evaluation of the robot operating system 2 in lossy unmanned networks. 2020 IEEE International Systems Conference (SysCon), 1–8.
16. Fernandez, J., Allen, B., & Thulasiraman, P., et al. (2020). Performance study of the robot operating system 2 with qos and cyber security settings. 2020 IEEE International Systems Conference (SysCon), 1–6.
17. Thulasiraman, P. (2020). ROS 2 Cyber Network Performance Using Scalable Quality of Service and Security Classifications. Naval Postgraduate School.
18. Thulasiraman, P., & Courtney, D. W. (2019). Implementation of Secure Communications for Tactical Wireless Sensor Networks. Mission-Oriented Sensor Networks and Systems: Art and Science (Vol. 1).
19. Thulasiraman, P., Haakensen, T., & Callanan, A. (2019). Countering passive cyber attacks against sink nodes in tactical sensor networks using reactive route obfuscation. Journal of Network and Computer Applications, 132, 10–21.
20. Sandoval, S., & Thulasiraman, P. (2019). Cyber security assessment of the robot operating system 2 for aerial networks. 2019 IEEE International Systems Conference (SysCon), 1–8.

Profile Details

https://faculty.nps.edu/pthulas1/
https://scholar.google.com/citations?user=ULkRuvkAAAAJ&hl=en
https://www.researchgate.net/profile/Preetha-Thulasiraman

WOS ResearcherID: GHC-0044-2022